Understanding, prediction and control of polymorphism in pharmaceuticals. The proposed research will lead, through a better understanding of polymorphism, to more efficient production of pharmaceuticals and will enhance the establishment and protection of patents. The work will have flow-on in other areas such as the manufacture of pigments, dyes and explosives. The project uses methodology for the elucidation of local structure and function at the atomic to nanoscale level in which Australia is ....Understanding, prediction and control of polymorphism in pharmaceuticals. The proposed research will lead, through a better understanding of polymorphism, to more efficient production of pharmaceuticals and will enhance the establishment and protection of patents. The work will have flow-on in other areas such as the manufacture of pigments, dyes and explosives. The project uses methodology for the elucidation of local structure and function at the atomic to nanoscale level in which Australia is a world leader. The project will further enhance our standing in this field and will provide excellent research training opportunities in areas particularly pertinent to future exploitation of the Australian Synchrotron and the new Research Reactor OPAL, which open in 2007. Read moreRead less
Investment Approaches and Applications in Financial Markets: Evolutionary Kernel Based Subset Time-Series Using Semi-Parametric Approaches. The project will develop new investment assessments based on subset time-series modeling. Innovative evolutionary kernel smoothing algorithms using semi-parametric approaches will be introduced. The project will make three important applications of this modeling in financial markets: a) benchmarking and evaluation of inflation-indexed bonds; b) evaluation of ....Investment Approaches and Applications in Financial Markets: Evolutionary Kernel Based Subset Time-Series Using Semi-Parametric Approaches. The project will develop new investment assessments based on subset time-series modeling. Innovative evolutionary kernel smoothing algorithms using semi-parametric approaches will be introduced. The project will make three important applications of this modeling in financial markets: a) benchmarking and evaluation of inflation-indexed bonds; b) evaluation of the performance of global diversified investment funds; and c) prediction to provide early warning of the emergence of destabilising deflation or inflation. These three applications will lead to improved risk management practices and investment performance. Recursive algorithms will provide new statistical methods to study investment asset price movements and market volatility.
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The improvement of climate change investigations by developing and applying innovative evolutionary subset time series modelling using semi-parametric sparse-patterned approaches. With an estimated US$6.98 trillion loss indicated in the Stern review, severe climate change will make world climate conditions harsher and more likely include large natural climate disasters. The health of the Australian economy is critically dependent on decisions of environmental managers. However, most problems of ....The improvement of climate change investigations by developing and applying innovative evolutionary subset time series modelling using semi-parametric sparse-patterned approaches. With an estimated US$6.98 trillion loss indicated in the Stern review, severe climate change will make world climate conditions harsher and more likely include large natural climate disasters. The health of the Australian economy is critically dependent on decisions of environmental managers. However, most problems of complexity arising in climate change involve issues on which we do not possess a deep understanding. This project draws upon a set of inter-disciplinary concepts and models centred in neural networks that enable us to advance our understanding of complexity, leading to superior quantitative tools and models to allow for improved environmental decision-making.
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Investment approaches and opportunities in renewable energy and financial resource markets, using semi-parametric approaches to evolutionary subset time-series lattice-ladder modelling. The project findings will help Australian exporters and importers understand and manage energy and resource price risks more effectively. The investment community will benefit through selecting optimal asset allocations and enhancing value to investors. It will also benefit many other agencies, particularly in th ....Investment approaches and opportunities in renewable energy and financial resource markets, using semi-parametric approaches to evolutionary subset time-series lattice-ladder modelling. The project findings will help Australian exporters and importers understand and manage energy and resource price risks more effectively. The investment community will benefit through selecting optimal asset allocations and enhancing value to investors. It will also benefit many other agencies, particularly in the service industries. It is not well recognised that in developed countries, including Australia, the financial service and related sectors account for more than 60 percent of economic activity and employment, so it is critical that more sophisticated statistical methods be established, and practical applications conducted, in order to advance the understanding of complexity management in the financial service and related sectors.Read moreRead less
The improvement of investment approaches by developing and applying bootstrap methods to innovative evolutionary kernel-based subset time-series modelling. With over $1 trillion of investors' monies in the hands of fund managers, the importance of efficient investment decisions across all industry sectors is self evident. Even if the modest target of systematically improving decision making by 1 or 2 % is set, the aggregate economic benefit achieved, given the compounding effects will be enormou ....The improvement of investment approaches by developing and applying bootstrap methods to innovative evolutionary kernel-based subset time-series modelling. With over $1 trillion of investors' monies in the hands of fund managers, the importance of efficient investment decisions across all industry sectors is self evident. Even if the modest target of systematically improving decision making by 1 or 2 % is set, the aggregate economic benefit achieved, given the compounding effects will be enormous. Any developed or developing country will profit from such advanced decision-making approaches. Therefore it is critical that more sophisticated statistical methods be established, and practical applications conducted, in order to advance the understanding of complexity management in the financial investment and other relevant sectors.Read moreRead less
ARC Molecular and Materials Structure Research Network. The Network will build powerful e-Science resources for the structural sciences. Collaborative remote access will be developed for sophisticated instrumentation, including instruments planned for the Replacement Research Reactor and Australian Synchrotron. A structure database service with cross disciplinary content and versatile visualisation and analysis capabilities will further exemplify smart information use. The internet services will ....ARC Molecular and Materials Structure Research Network. The Network will build powerful e-Science resources for the structural sciences. Collaborative remote access will be developed for sophisticated instrumentation, including instruments planned for the Replacement Research Reactor and Australian Synchrotron. A structure database service with cross disciplinary content and versatile visualisation and analysis capabilities will further exemplify smart information use. The internet services will ultimately harness the Grid, enabling linkage into other national and international Grid systems. Encompassing physics, computer science, applied mathematics, chemistry and biochemistry, and catalysing interaction across these disciplines, the MMSN will impact all five National Research Priority 3 goals.Read moreRead less
Engineering nanoscale material properties by controlled-temperature indentation. The research is in a field of high national priority, namely nanotechnology. The technology is based on semiconductor modification at the nanoscale by nanoindentation. This project will further provide valuable opportunities for a number of research students and early-career researchers to gain skills as well as learn techniques and processes needed for Australia's nanotechnology workforce. Australia will further ....Engineering nanoscale material properties by controlled-temperature indentation. The research is in a field of high national priority, namely nanotechnology. The technology is based on semiconductor modification at the nanoscale by nanoindentation. This project will further provide valuable opportunities for a number of research students and early-career researchers to gain skills as well as learn techniques and processes needed for Australia's nanotechnology workforce. Australia will further benefit as the skills and knowledge garnered from this work will be patented at every opportunity and transferred to a spin-off company, WRiota.Read moreRead less
Synchrotron radiation techniques applied to melting and resolidification at a nanometric scale. By delivering underpinning knowledge of melting characteristics of nanoparticles, the proposal seeks results that can lead to breakthrough applications in advanced materials engineering. Measurements of the liquid nanoparticle structure performed at the Australian Synchrotron are unprecedented and are thus likely to include the development of new methodology. National and international exposure of Aus ....Synchrotron radiation techniques applied to melting and resolidification at a nanometric scale. By delivering underpinning knowledge of melting characteristics of nanoparticles, the proposal seeks results that can lead to breakthrough applications in advanced materials engineering. Measurements of the liquid nanoparticle structure performed at the Australian Synchrotron are unprecedented and are thus likely to include the development of new methodology. National and international exposure of Australian science and the Australian Synchrotron will have both scientific and economic ramifications. Involvement of students will contribute to developing the local synchrotron knowledge base and is beneficial to the Australian synchrotron-research community as a whole.Read moreRead less
Boron nitride nanotubes for tunable conductivity. The proposed research in nanotubes falls into the national research priority areas of advanced materials and breakthrough science. This ANU research group has a leading role in Boron Nitride (BN) nanotube research internationally. The proposed collaborative research will enhance this position and further improve the nation's research profile in nanotechnology. New intellectual properties will be generated if the project is successful, which wi ....Boron nitride nanotubes for tunable conductivity. The proposed research in nanotubes falls into the national research priority areas of advanced materials and breakthrough science. This ANU research group has a leading role in Boron Nitride (BN) nanotube research internationally. The proposed collaborative research will enhance this position and further improve the nation's research profile in nanotechnology. New intellectual properties will be generated if the project is successful, which will benefit the commercialization activity of BN nanotubes at ANU. New PhD and undergraduate students will be trained by the proposed cutting edge research project.Read moreRead less
Structure-property correlation in metal-oxide aerogels. Aerogels are truly remarkable materials with unique physical properties including extraordinary thermal insulation capabilities. The influence of mechanical deformation on these nanoscale materials is only poorly understood, despite key technological interest. This project aims to measure the response of a variety of aerogels samples to forces applied by nanoindentation and, using advanced electron microscopy and ion-beam analysis techniqu ....Structure-property correlation in metal-oxide aerogels. Aerogels are truly remarkable materials with unique physical properties including extraordinary thermal insulation capabilities. The influence of mechanical deformation on these nanoscale materials is only poorly understood, despite key technological interest. This project aims to measure the response of a variety of aerogels samples to forces applied by nanoindentation and, using advanced electron microscopy and ion-beam analysis techniques, to directly identify the atomic-level deformation mechanisms.Read moreRead less